code: def seed_torch(seed=42):
      seed = int(seed)
      random.seed(seed)
      os.environ["PYTHONHASHSEED"] = str(seed)
      np.random.seed(seed)
      torch.manual_seed(seed)
      torch.cuda.manual_seed(seed)
      torch.cuda.manual_seed_all(seed)
      torch.backends.cudnn.deterministic = True
      torch.backends.cudnn.benchmark = False
      torch.backends.cudnn.enabled = False
  
file_path: DeepKE/example/llm/InstructKGC/src/utils/general_utils.py
imports: import os
  import random
  import time
  import numpy
  import torch
  from transformers import AutoTokenizer, AutoModel, AutoModelForCausalLM, LlamaForCausalLM, LlamaTokenizer, Trainer, Seq2SeqTrainer
label_desc: Use image node_id 3 for calling a global function with example usage: seed_torch(seed) without return types